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Predictive Cognitive Maintenance Decision Support System

Objective

Cheaper and more powerful sensors, together with big data analytics, offer an unprecedented opportunity to track machine-tool performance and health condition. However, manufacturers only spend 15% of their total maintenance costs on predictive (vs reactive or preventative) maintenance.
The project will deploy and test a predictive cognitive maintenance decision-support system able to identify and localize damage, assess damage severity, predict damage evolution, assess remaining asset life, reduce the probability of false alarms, provide more accurate failure detection, issue notices to conduct preventive maintenance actions and ultimately increase in-service efficiency of machines by at least 10%.
The platform includes 4 modules: 1) a data acquisition module leveraging external sensors as well as sensors directly embedded in the machine tool components, 2) an artificial intelligence module combining physical models, statistical models and machine-learning algorithms able to track individual health condition and supporting a large range of assets and dynamic operating conditions, 3) a secure integration module connecting the platform to production planning and maintenance systems via a private cloud and providing additional safety, self-healing and self-learning capabilities and 4) a human interface module including production dashboards and augmented reality interfaces for facilitating maintenance tasks.
The consortium includes 3 end-user factories, 3 machine-tool suppliers, 1 leading component supplier, 4 innovative SMEs, 3 research organizations and 3 academic institutions. Together, we will validate the platform in a broad spectrum of real-life industrial scenarios (low volume, high volume and continuous manufacturing). We will also demonstrate the direct impact of the platform on maintainability, availability, work safety and costs in order to document the results in detailed business cases for widespread industry dissemination and exploitation.

Call for proposal

H2020-FOF-2017
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

LINNEUNIVERSITETET
Address
Linnaeus University
35195 Vaxjo
Sweden
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 825 657,08

Participants (16)

E-MAINTENANCE SWEDEN AB
Sweden
EU contribution
€ 372 429,14
Address
Framtidsvagen 12
351 96 Vaxjo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
PARAGON ANONYMH ETAIREIA MELETON EREVNAS KAI EMPORIOU PROIGMENHS TEXNOLOGIAS
Greece
EU contribution
€ 323 312,50
Address
Karaoli Kai Dimitriou 13
11146 Galatsi N Attikis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SAVVY DATA SYSTEMS SL
Spain
EU contribution
€ 225 437,51
Address
Portuetxe Kalea 45A 4 4
20018 Donostia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
VERTECH GROUP
France
EU contribution
€ 110 600
Address
11 Rue Defly
06000 Nice
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BOSCH REXROTH AG
Germany
EU contribution
€ 202 370
Address
Zum Eisengiesser 1
97816 Lohr
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SORALUCE S. COOP.
Spain
EU contribution
€ 221 921,88
Address
Osintxu Auzoa
20570 Bergara
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SAKANA, SOCIEDAD COOPERATIVA
Spain
EU contribution
€ 204 225
Address
Zona Sarrarte S N
31830 Lakuntza
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
OVERBECK GMBH
Germany
EU contribution
€ 221 921,88
Address
Konrad Adenauer Strasse 27
35745 Herbon
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SPINEA SRO
Slovakia
EU contribution
€ 115 500
Address
Ku Magašu 702/3
080 01 Haniska
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GOMA CAMPS SOCIEDAD ANONIMA
Spain
EU contribution
€ 176 071,88
Address
Calle Cardenal Goma 29
43450 La Riba Tarragona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
LANTIER SL
Spain
EU contribution
€ 217 546,88
Address
Poligono Industrial Aldaba Sn
20400 Tolosa
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
IDEKO S COOP
Spain
EU contribution
€ 713 000
Address
Calle Arriaga 2
20870 Elgoibar
Activity type
Research Organisations
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France
EU contribution
€ 470 920
Address
Rue Leblanc 25
75015 Paris 15
Activity type
Research Organisations
CONSORCIO INSTITUTO TECNOLOXICO MATEMATICA INDUSTRIAL ITMATI
Spain
EU contribution
€ 312 562,50
Address
Praza Obradoiro, Colexio San Xerome S/n
15782 Santiago De Compostela
Activity type
Research Organisations
TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 845 062,50
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAET CHEMNITZ
Germany
EU contribution
€ 587 863,75
Address
Strasse Der Nationen 62
09111 Chemnitz
Activity type
Higher or Secondary Education Establishments